Bibikas, D., Kourtesis, D., Paraskakis, I. et al. (5 more authors) (2008) A Sociotechnical Approach to Knowledge Management in the Era of Enterprise 2.0: the Case of OrganiK. Scalable Computing: Practice and Experience, 9 (4). pp. 315-327.
Abstract
The increasing need of small knowledge-intensive companies for loosely-coupled collaboration and ad-hoc knowledge sharing has led to a strong requirement for an alternative approach to developing knowledge management systems. This paper proposes a framework for managing organisational knowledge that builds on a socio-technical perspective and considers people as well as technology as two highly interconnected components. We introduce a conceptualised system architecture that merges enterprise social software characteristics from the realm of Enterprise 2.0, and information processing techniques from the domain of Semantic Web technologies. In order to deliver a KM approach that could assist in reducing the socio-technical gap, we suggest deploying such a solution using an integrated sociotechnical implementation methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Year The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Apr 2014 15:16 |
Last Modified: | 25 Mar 2018 19:18 |
Published Version: | http://www.scpe.org/index.php/scpe/article/view/55... |
Status: | Published |
Publisher: | SCPE |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78416 |